Foto av Jens Gulin © 2024 Jens Gulin

Personlig profil


Industry PhD student at Sony and LTH. Funded in the WASP initiative.

[Draft scope]
The project is starting in computer vision and image analysis to become familiar with current methods and a well established domain. This is used as an arena to find a machine task that involves human interaction and a non-static environment that allows incremental learning. Designing the task and learning process to benefit from transparency of the agent decisions (explainability) is a secondary goal.

While deep learning with large amounts of up-front learning data has made recent success, an agent that is able to learn incrementally from data available during usage should be more versatile. A human-in-the-loop approach, where the user is taking an active part in the learning or acting process, could be one way to give transparency but the human should not become a bottle-neck with no added value.


Working for Sony Europe in Lund and has been involved in different aspects of software development for mobile phones since 2001.


Utforska forskningsämnen där Jens Gulin är aktiv. Dessa ämnesetiketter kommer från personens arbeten. Tillsammans bildar de ett unikt fingeravtryck.
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